中文摘要：

为了实现复杂战场环境下空中目标敌我属性的综合识别,在利用证据权重衡量信息可信度的基础上,提出了一种基于DS证据理论和直觉模糊集相结合（Dempster-Shafer evidence theory-intuitionistic fuzzy sets,DST-IFS）的综合敌我识别方法。首先,分析了空中目标综合敌我识别问题,给出了具体的识别流程;然后,针对DS（DempsterShafer）函数向直觉模糊集转化过程中存在增大信息不确定性的问题,提出了一种信度分配方法用于直觉模糊隶属度和非隶属度赋值,并利用算例验证了信度分配方法的适应性和有效性;接着,给出了基于理想点法（technique for order preference by similarity to ideal solution,TOPSIS）的DST-IFS决策方法步骤;在此基础上,提出了一种基于DST-IFS的空中目标综合敌我识别的方法;最后进行了实例分析,验证了该综合敌我识别方法的有效性。

英文摘要：

In order to conduct air target identification of friend or foe under complex battle circumstances, an integrated identification method based on the combination of Dempster-Shafer （DS） evidence theory and intu- itionistic fuzzy sets （DST-IFS） is proposed with consideration of information credibility. Firstly, the problem of inte-grated air target identification of friend or foe is analyzed, and the integrated identification process is proposed. Second-ly, aiming at solving the problem of uncertainty enlargement induced by the transformation from DS functions to IFS, a credit assignment method is proposed to determine membership degree and non-membership degree in IFS. Mean-while, the adaptability and effectiveness of the credit assignment method is validated by case studies. Thirdly, the steps of DST-IFS decision-making approach based on TOPSIS （technique for order preference by similarity to ideal solution） are given. On this basis, an integrated identification of friend or foe method based on DST-IFS is proposed. Finally, the integrated identification of friend or foe method proposed is proved to be feasible via example analysis.